| year | country | school_id | student_id | mother_educ | father_educ | gender | computer | internet | math | read | science | stu_wgt | desk | room | dishwasher | television | computer_n | laptop_n | car | book | wealth | escs |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022 | ALB | 800282 | 800001 | ISCED 1 | ISCED 2 | female | yes | NA | 180 | 248 | 335 | 3.2 | NA | NA | NA | NA | NA | NA | NA | 101-200 | NA | 1.11 |
| 2022 | ALB | 800115 | 800002 | ISCED 1 | ISCED 2 | male | no | no | 308 | 258 | 315 | 4.3 | NA | no | NA | 1 | 0 | 0 | 0 | 11-25 | NA | -3.05 |
| 2022 | ALB | 800242 | 800003 | ISCED 3A | ISCED 2 | male | yes | yes | 268 | 285 | 359 | 7.8 | NA | yes | NA | 1 | 1 | 0 | 1 | 101-200 | NA | -0.19 |
| 2022 | ALB | 800245 | 800005 | ISCED 1 | ISCED 1 | female | yes | yes | 273 | 322 | 215 | 8.5 | NA | yes | NA | 1 | 1 | 0 | 0 | 11-25 | NA | -3.22 |
| 2022 | ALB | 800285 | 800006 | ISCED 3A | ISCED 2 | female | yes | yes | 435 | 464 | 435 | 3.7 | NA | yes | NA | 1 | 1 | 1 | 2 | 11-25 | NA | -1.05 |
| 2022 | ALB | 800172 | 800007 | ISCED 3A | ISCED 3A | male | yes | yes | 534 | 451 | 479 | 4.3 | NA | no | NA | NA | 1 | 2 | 1 | more than 500 | NA | 1.09 |
Learningtower: Comparative Analysis of PISA 2022 and Historical Data
Shabarish Sai and Guan Ru Chen
Department of Econometrics and Business Statistics
2024-10-18
Contributors
Shabarish Sai Subramanian
Guan Ru, Chen
Dianne Cook
Kevin Y.X. Wang
Priya Ravindra Dingorkar
Introduction
Learningtower Package
The Learningtower package provides access to PISA datasets from 2000 to 2022, allowing researchers to explore trends in education, student performance, and other contextual factors.
In Learningtower contain mainly 3 datasets:
- Student is a dataset of students scores in mathematics, reading and science.
- School is a dataset of school’s detailed information, i.e. school weight, school funding distribution, private/public sectors, etc.
- Countrycode is a dataset of a mapping of a country/region’s ISO code to its full name.
What is PISA (Programme for International Student Assessment)?
Global Examination
Measures student performance in reading, math, and science
Target Group
Assesses 15-year-old students’ knowledge and skills
Global Reach
81 OECD member countries, 700,000+ students in 2022
Educational Environment Research
Additional questionnaires done by students, teachers, and school principals to gather contextual data on educational environments, socio-economic status, and more.
Methodology
PISA Dataset
Variable Description
From original dataset, We collect the following variables:
Year
Country
School
Student information: ID, gender, test scores, student weight
Economic factors: Parent’s education level, household belongings(i.e. computer, internet, etc.) as well as constructed index like
escs.
Gender Gap Analysis
Math
Reading
Science
